
Qwen: Qwen3 Coder 30B A3B Instruct
qwen/qwen3-coder-30b-a3b-instruct
Model weightsQwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion.
This model is optimized for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats.
Providers
This model is hosted by one provider. OpenRouter forwards every request without routing.
| $0.15 | $0.60 | 0.72s | 75 tok/s |
- Input $0.15 / Output $0.6075 tok/s99.95% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Qwen3 Coder 30B A3B Instruct — Price history
| $0.150 | $0.599 | 0.0% | 100.0% |
- Effective in $0.150 / Effective out $0.599Token share100.0%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct GPQA Diamond | 51.6% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct HLE | 3.8% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct IFBench | 32.7% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct τ²-Bench Telecom | 34.5% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct AA-LCR | 32.7% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct CritPt | 0.0% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct LiveCodeBench | 40.3% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct Terminal-Bench Hard | 15.2% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct MMLU-Pro | 70.6% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct AIME 2025 | 29.0% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct AIME | 29.7% |
| Artificial Analysis | Qwen3 Coder 30B A3B Instruct MATH-500 | 89.3% |
| Design Arena | Qwen3 Coder 30B A3B Instruct Models Arena Data Visualization Elo | 1085 |
| Design Arena | Qwen3 Coder 30B A3B Instruct Models Arena UI Component Elo | 1036 |
| Design Arena | Qwen3 Coder 30B A3B Instruct Models Arena Website Elo | 1079 |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use.
Qwen3 Coder 30B A3B Instruct costs $0.15/M input tokens and $0.60/M output tokens.
Qwen3 Coder 30B A3B Instruct has a 262,144 token context window.
Yes. Qwen3 Coder 30B A3B Instruct accepts tools and tool_choice for function calling. It does not support response_format, so JSON output is not enforced.
Qwen3 Coder 30B A3B Instruct is served by 1 provider on OpenRouter: Amazon Bedrock.
Qwen3.8 Max Prime, Qwen3.8 Omni Flash, Qwen3.8 Max (0902) and 35 more are other text models from Qwen.
Qwen3 Coder 30B A3B Instruct was released on July 31, 2025. Its knowledge cutoff is June 30, 2025.